Style-content separation by anisotropic part scales

By Kai Xu, Honghua Li, Hao Zhang, Daniel Cohen-Or, Yueshan Xiong, Zhi-Quan Cheng. 2010

155 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Control and Systems Engineering

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In Computational Mechanics

In Computer Graphics and Computer-Aided Design

In Control and Systems Engineering

Citations in the corpus

Image-Based Recommendations on Styles and Substitutes (2015, background): “There has been some interest of late in modeling the visual style of places [6, 27], and objects [39].”
Fine-grained semi-supervised labeling of large shape collections (2013, methodology): “…data-driven shape matching tech- ACM Transactions on Graphics, Vol. 32, No. 6, Article 190, Publication Date: November 2013 niques [Huang et al. 2012; Kim et al. 2012; Kim et al. 2013] as well as the state-of-the-art pair-wise shape matching method for man-made objects [Xu et al. 2010] .”
Elements of style (2015, methodology): “A range of methods provide strategies for evaluating fine-grained similarity between shapes with similar structure [Xu et al. 2010; Kalogerakis et al. 2012; Kim et al. 2013; Huang et al. 2013; van Kaick et al. 2013; Yumer and Kara 2014].”
Interactive shape co-segmentation via label propagation (2014, background): “[12] factor out the scale variation in the shape segments by clustering the shapes into different styles, depending on the scales of the shape parts.”
A search-classify approach for cluttered indoor scene understanding (2012, background): “In [Xu et al. 2010], co-segmented shapes are deformed by scaling corresponding parts in the source and target models.”
Unsupervised co-segmentation for 3D shapes using iterative multi-label optimization (2013, background): “[7] firstly group the shapes based on their styles and then perform part correspondences in each style group.”
Active co-analysis of a set of shapes (2012, methodology): “The unsupervised setting is more challenging, since no prior information is given and the entire knowledge must be extracted from the input set [Golovinskiy and Funkhouser 2009; Xu et al. 2010; Sidi et al. 2011].”